[INFO] trainDataLength:54193, valDataLength:13548
Epoch [1/300], Loss: 0.2040, accuracy:0.9167
Epoch [2/300], Loss: 0.1376, accuracy:0.9472
Epoch [3/300], Loss: 0.0954, accuracy:0.9642
Epoch [4/300], Loss: 0.0773, accuracy:0.9722
Epoch [5/300], Loss: 0.0718, accuracy:0.9759
Epoch [6/300], Loss: 0.0559, accuracy:0.9801
Epoch [7/300], Loss: 0.0494, accuracy:0.9824
Epoch [8/300], Loss: 0.0393, accuracy:0.9863
Epoch [9/300], Loss: 0.0402, accuracy:0.9866
Epoch [10/300], Loss: 0.0500, accuracy:0.9832
Epoch [11/300], Loss: 0.0378, accuracy:0.9870
Epoch [12/300], Loss: 0.0363, accuracy:0.9873
Epoch [13/300], Loss: 0.0300, accuracy:0.9888
Epoch [14/300], Loss: 0.0286, accuracy:0.9910
Epoch [15/300], Loss: 0.0352, accuracy:0.9878
Epoch [16/300], Loss: 0.0280, accuracy:0.9912
Epoch [17/300], Loss: 0.0250, accuracy:0.9912
Epoch [18/300], Loss: 0.0205, accuracy:0.9939
Epoch [19/300], Loss: 0.0300, accuracy:0.9902
Epoch [20/300], Loss: 0.0216, accuracy:0.9920
Epoch [21/300], Loss: 0.0237, accuracy:0.9922
Epoch [22/300], Loss: 0.0215, accuracy:0.9928
Epoch [23/300], Loss: 0.0171, accuracy:0.9943
Epoch [24/300], Loss: 0.0158, accuracy:0.9945
Epoch [25/300], Loss: 0.0208, accuracy:0.9925
Epoch [26/300], Loss: 0.0182, accuracy:0.9947
Epoch [27/300], Loss: 0.0184, accuracy:0.9937
Epoch [28/300], Loss: 0.0160, accuracy:0.9940
Epoch [29/300], Loss: 0.0188, accuracy:0.9936
Epoch [30/300], Loss: 0.0133, accuracy:0.9956
Epoch [31/300], Loss: 0.0192, accuracy:0.9937
Epoch [32/300], Loss: 0.0166, accuracy:0.9945
Epoch [33/300], Loss: 0.0232, accuracy:0.9926
Epoch [34/300], Loss: 0.0109, accuracy:0.9959
Epoch [35/300], Loss: 0.0156, accuracy:0.9952
Epoch [36/300], Loss: 0.0192, accuracy:0.9942
Epoch [37/300], Loss: 0.0207, accuracy:0.9939
Epoch [38/300], Loss: 0.0156, accuracy:0.9954
Epoch [39/300], Loss: 0.0130, accuracy:0.9955
Epoch [40/300], Loss: 0.0103, accuracy:0.9967
Epoch [41/300], Loss: 0.0136, accuracy:0.9963
Epoch [42/300], Loss: 0.0130, accuracy:0.9960
Epoch [43/300], Loss: 0.0106, accuracy:0.9973
Epoch [44/300], Loss: 0.0187, accuracy:0.9945
Epoch [45/300], Loss: 0.0107, accuracy:0.9968
Epoch [46/300], Loss: 0.0120, accuracy:0.9959
Epoch [47/300], Loss: 0.0117, accuracy:0.9962
Epoch [48/300], Loss: 0.0113, accuracy:0.9965
Epoch [49/300], Loss: 0.0124, accuracy:0.9964
Epoch [50/300], Loss: 0.0177, accuracy:0.9949
Epoch [51/300], Loss: 0.0183, accuracy:0.9953
Epoch [52/300], Loss: 0.0092, accuracy:0.9971
Epoch [53/300], Loss: 0.0097, accuracy:0.9970
Epoch [54/300], Loss: 0.0185, accuracy:0.9944
Epoch [55/300], Loss: 0.0139, accuracy:0.9956
Epoch [56/300], Loss: 0.0130, accuracy:0.9959
Epoch [57/300], Loss: 0.0145, accuracy:0.9951
Epoch [58/300], Loss: 0.0229, accuracy:0.9924
Epoch [59/300], Loss: 0.0116, accuracy:0.9964
Epoch [60/300], Loss: 0.0126, accuracy:0.9962
Epoch [61/300], Loss: 0.0124, accuracy:0.9960
Epoch [62/300], Loss: 0.0126, accuracy:0.9968
Epoch [63/300], Loss: 0.0107, accuracy:0.9963
Epoch [64/300], Loss: 0.0107, accuracy:0.9963
Epoch [65/300], Loss: 0.0132, accuracy:0.9956
Epoch [66/300], Loss: 0.0127, accuracy:0.9973
Epoch [67/300], Loss: 0.0090, accuracy:0.9975
Epoch [68/300], Loss: 0.0114, accuracy:0.9963
Epoch [69/300], Loss: 0.0102, accuracy:0.9970
Epoch [70/300], Loss: 0.0114, accuracy:0.9965
Epoch [71/300], Loss: 0.0078, accuracy:0.9973
Epoch [72/300], Loss: 0.0116, accuracy:0.9971
Epoch [73/300], Loss: 0.0080, accuracy:0.9976
Epoch [74/300], Loss: 0.0161, accuracy:0.9953
Epoch [75/300], Loss: 0.0104, accuracy:0.9968
Epoch [76/300], Loss: 0.0111, accuracy:0.9967
Epoch [77/300], Loss: 0.0099, accuracy:0.9976
Epoch [78/300], Loss: 0.0158, accuracy:0.9962
Epoch [79/300], Loss: 0.0115, accuracy:0.9969
Epoch [80/300], Loss: 0.0094, accuracy:0.9970
Epoch [81/300], Loss: 0.0093, accuracy:0.9974
Epoch [82/300], Loss: 0.0081, accuracy:0.9974
Epoch [83/300], Loss: 0.0153, accuracy:0.9959
Epoch [84/300], Loss: 0.0115, accuracy:0.9968
Epoch [85/300], Loss: 0.0092, accuracy:0.9973
Epoch [86/300], Loss: 0.0106, accuracy:0.9968
Epoch [87/300], Loss: 0.0080, accuracy:0.9976
Epoch [88/300], Loss: 0.0113, accuracy:0.9970
Epoch [89/300], Loss: 0.0114, accuracy:0.9969
Epoch [90/300], Loss: 0.0131, accuracy:0.9968
Epoch [91/300], Loss: 0.0087, accuracy:0.9978
Epoch [92/300], Loss: 0.0125, accuracy:0.9964
Epoch [93/300], Loss: 0.0074, accuracy:0.9979
Epoch [94/300], Loss: 0.0105, accuracy:0.9968
Epoch [95/300], Loss: 0.0083, accuracy:0.9976
Epoch [96/300], Loss: 0.0119, accuracy:0.9966
Epoch [97/300], Loss: 0.0112, accuracy:0.9975
Epoch [98/300], Loss: 0.0111, accuracy:0.9969
Epoch [99/300], Loss: 0.0110, accuracy:0.9968
Epoch [100/300], Loss: 0.0095, accuracy:0.9973
Epoch [101/300], Loss: 0.0116, accuracy:0.9970
Epoch [102/300], Loss: 0.0093, accuracy:0.9971
Epoch [103/300], Loss: 0.0141, accuracy:0.9959
Epoch [104/300], Loss: 0.0091, accuracy:0.9970
Epoch [105/300], Loss: 0.0109, accuracy:0.9972
Epoch [106/300], Loss: 0.0101, accuracy:0.9971
Epoch [107/300], Loss: 0.0109, accuracy:0.9968
Epoch [108/300], Loss: 0.0098, accuracy:0.9973
Epoch [109/300], Loss: 0.0121, accuracy:0.9964
Epoch [110/300], Loss: 0.0072, accuracy:0.9976
Epoch [111/300], Loss: 0.0111, accuracy:0.9969
Epoch [112/300], Loss: 0.0088, accuracy:0.9971
Epoch [113/300], Loss: 0.0110, accuracy:0.9970
Epoch [114/300], Loss: 0.0158, accuracy:0.9956
Epoch [115/300], Loss: 0.0093, accuracy:0.9974
Epoch [116/300], Loss: 0.0096, accuracy:0.9977
Epoch [117/300], Loss: 0.0119, accuracy:0.9968
Epoch [118/300], Loss: 0.0084, accuracy:0.9976
Epoch [119/300], Loss: 0.0118, accuracy:0.9961
Epoch [120/300], Loss: 0.0101, accuracy:0.9970
Epoch [121/300], Loss: 0.0100, accuracy:0.9971
Epoch [122/300], Loss: 0.0095, accuracy:0.9976
Epoch [123/300], Loss: 0.0093, accuracy:0.9978
Epoch [124/300], Loss: 0.0096, accuracy:0.9977
Epoch [125/300], Loss: 0.0123, accuracy:0.9965
Epoch [126/300], Loss: 0.0097, accuracy:0.9971
Epoch [127/300], Loss: 0.0083, accuracy:0.9978
Epoch [128/300], Loss: 0.0075, accuracy:0.9981
Epoch [129/300], Loss: 0.0114, accuracy:0.9970
Epoch [130/300], Loss: 0.0091, accuracy:0.9977
Epoch [131/300], Loss: 0.0156, accuracy:0.9950
Epoch [132/300], Loss: 0.0091, accuracy:0.9973
Epoch [133/300], Loss: 0.0127, accuracy:0.9970
Epoch [134/300], Loss: 0.0073, accuracy:0.9981
Epoch [135/300], Loss: 0.0090, accuracy:0.9980
Epoch [136/300], Loss: 0.0074, accuracy:0.9978
Epoch [137/300], Loss: 0.0109, accuracy:0.9973
Epoch [138/300], Loss: 0.0083, accuracy:0.9979
Epoch [139/300], Loss: 0.0106, accuracy:0.9973
Epoch [140/300], Loss: 0.0066, accuracy:0.9980
Epoch [141/300], Loss: 0.0106, accuracy:0.9969
Epoch [142/300], Loss: 0.0095, accuracy:0.9976
Epoch [143/300], Loss: 0.0081, accuracy:0.9981
Epoch [144/300], Loss: 0.0091, accuracy:0.9977
Epoch [145/300], Loss: 0.0067, accuracy:0.9982
Epoch [146/300], Loss: 0.0129, accuracy:0.9965
Epoch [147/300], Loss: 0.0104, accuracy:0.9976
Epoch [148/300], Loss: 0.0090, accuracy:0.9970
Epoch [149/300], Loss: 0.0081, accuracy:0.9977
Epoch [150/300], Loss: 0.0066, accuracy:0.9983
Epoch [151/300], Loss: 0.0077, accuracy:0.9979
Epoch [152/300], Loss: 0.0060, accuracy:0.9982
Epoch [153/300], Loss: 0.0066, accuracy:0.9984
Epoch [154/300], Loss: 0.0126, accuracy:0.9973
Epoch [155/300], Loss: 0.0104, accuracy:0.9973
Epoch [156/300], Loss: 0.0089, accuracy:0.9976
Epoch [157/300], Loss: 0.0116, accuracy:0.9967
Epoch [158/300], Loss: 0.0101, accuracy:0.9975
Epoch [159/300], Loss: 0.0065, accuracy:0.9983
Epoch [160/300], Loss: 0.0114, accuracy:0.9973
Epoch [161/300], Loss: 0.0090, accuracy:0.9974
Epoch [162/300], Loss: 0.0061, accuracy:0.9985
Epoch [163/300], Loss: 0.0103, accuracy:0.9976
Epoch [164/300], Loss: 0.0099, accuracy:0.9970
Epoch [165/300], Loss: 0.0127, accuracy:0.9968
Epoch [166/300], Loss: 0.0087, accuracy:0.9976
Epoch [167/300], Loss: 0.0096, accuracy:0.9973
Epoch [168/300], Loss: 0.0072, accuracy:0.9981
Epoch [169/300], Loss: 0.0090, accuracy:0.9980
Epoch [170/300], Loss: 0.0069, accuracy:0.9980
Epoch [171/300], Loss: 0.0104, accuracy:0.9973
Epoch [172/300], Loss: 0.0070, accuracy:0.9978
Epoch [173/300], Loss: 0.0124, accuracy:0.9972
Epoch [174/300], Loss: 0.0071, accuracy:0.9979
Epoch [175/300], Loss: 0.0081, accuracy:0.9977
Epoch [176/300], Loss: 0.0100, accuracy:0.9975
Epoch [177/300], Loss: 0.0089, accuracy:0.9976
Epoch [178/300], Loss: 0.0084, accuracy:0.9980
Epoch [179/300], Loss: 0.0095, accuracy:0.9977
Epoch [180/300], Loss: 0.0122, accuracy:0.9971
Epoch [181/300], Loss: 0.0106, accuracy:0.9973
Epoch [182/300], Loss: 0.0103, accuracy:0.9978
Epoch [183/300], Loss: 0.0087, accuracy:0.9979
Epoch [184/300], Loss: 0.0099, accuracy:0.9977
Epoch [185/300], Loss: 0.0114, accuracy:0.9969
Epoch [186/300], Loss: 0.0095, accuracy:0.9979
Epoch [187/300], Loss: 0.0065, accuracy:0.9984
Epoch [188/300], Loss: 0.0085, accuracy:0.9975
Epoch [189/300], Loss: 0.0090, accuracy:0.9976
Epoch [190/300], Loss: 0.0114, accuracy:0.9974
Epoch [191/300], Loss: 0.0074, accuracy:0.9983
Epoch [192/300], Loss: 0.0064, accuracy:0.9986
Epoch [193/300], Loss: 0.0073, accuracy:0.9983
Epoch [194/300], Loss: 0.0095, accuracy:0.9976
Epoch [195/300], Loss: 0.0068, accuracy:0.9984
Epoch [196/300], Loss: 0.0134, accuracy:0.9972
Epoch [197/300], Loss: 0.0091, accuracy:0.9977
Epoch [198/300], Loss: 0.0087, accuracy:0.9978
Epoch [199/300], Loss: 0.0083, accuracy:0.9979
Epoch [200/300], Loss: 0.0095, accuracy:0.9975
Epoch [201/300], Loss: 0.0065, accuracy:0.9983
Epoch [202/300], Loss: 0.0093, accuracy:0.9976
Epoch [203/300], Loss: 0.0055, accuracy:0.9984
Epoch [204/300], Loss: 0.0136, accuracy:0.9968
Epoch [205/300], Loss: 0.0115, accuracy:0.9973
Epoch [206/300], Loss: 0.0120, accuracy:0.9971
Epoch [207/300], Loss: 0.0088, accuracy:0.9981
Epoch [208/300], Loss: 0.0104, accuracy:0.9977
Epoch [209/300], Loss: 0.0088, accuracy:0.9979
Epoch [210/300], Loss: 0.0102, accuracy:0.9976
Epoch [211/300], Loss: 0.0094, accuracy:0.9977
Epoch [212/300], Loss: 0.0119, accuracy:0.9974
Epoch [213/300], Loss: 0.0079, accuracy:0.9981
Epoch [214/300], Loss: 0.0076, accuracy:0.9978
Epoch [215/300], Loss: 0.0080, accuracy:0.9981
Epoch [216/300], Loss: 0.0065, accuracy:0.9984
Epoch [217/300], Loss: 0.0069, accuracy:0.9987
Epoch [218/300], Loss: 0.0119, accuracy:0.9975
Epoch [219/300], Loss: 0.0070, accuracy:0.9978
Epoch [220/300], Loss: 0.0064, accuracy:0.9979
Epoch [221/300], Loss: 0.0089, accuracy:0.9982
Epoch [222/300], Loss: 0.0101, accuracy:0.9982
Epoch [223/300], Loss: 0.0077, accuracy:0.9984
Epoch [224/300], Loss: 0.0077, accuracy:0.9982
Epoch [225/300], Loss: 0.0091, accuracy:0.9974
Epoch [226/300], Loss: 0.0076, accuracy:0.9982
Epoch [227/300], Loss: 0.0088, accuracy:0.9972
Epoch [228/300], Loss: 0.0071, accuracy:0.9983
Epoch [229/300], Loss: 0.0181, accuracy:0.9953
Epoch [230/300], Loss: 0.0082, accuracy:0.9975
Epoch [231/300], Loss: 0.0062, accuracy:0.9982
Epoch [232/300], Loss: 0.0080, accuracy:0.9979
Epoch [233/300], Loss: 0.0078, accuracy:0.9978
Epoch [234/300], Loss: 0.0118, accuracy:0.9968
Epoch [235/300], Loss: 0.0085, accuracy:0.9982
Epoch [236/300], Loss: 0.0067, accuracy:0.9985
Epoch [237/300], Loss: 0.0071, accuracy:0.9985
Epoch [238/300], Loss: 0.0081, accuracy:0.9976
Epoch [239/300], Loss: 0.0068, accuracy:0.9984
Epoch [240/300], Loss: 0.0119, accuracy:0.9973
Epoch [241/300], Loss: 0.0152, accuracy:0.9965
Epoch [242/300], Loss: 0.0096, accuracy:0.9978
Epoch [243/300], Loss: 0.0067, accuracy:0.9983
Epoch [244/300], Loss: 0.0083, accuracy:0.9979
Epoch [245/300], Loss: 0.0085, accuracy:0.9979
Epoch [246/300], Loss: 0.0074, accuracy:0.9978
Epoch [247/300], Loss: 0.0064, accuracy:0.9982
Epoch [248/300], Loss: 0.0091, accuracy:0.9973
Epoch [249/300], Loss: 0.0096, accuracy:0.9979
Epoch [250/300], Loss: 0.0141, accuracy:0.9970
Epoch [251/300], Loss: 0.0090, accuracy:0.9983
Epoch [252/300], Loss: 0.0071, accuracy:0.9982
Epoch [253/300], Loss: 0.0098, accuracy:0.9979
Epoch [254/300], Loss: 0.0088, accuracy:0.9984
Epoch [255/300], Loss: 0.0070, accuracy:0.9981
Epoch [256/300], Loss: 0.0089, accuracy:0.9981
Epoch [257/300], Loss: 0.0098, accuracy:0.9982
Epoch [258/300], Loss: 0.0072, accuracy:0.9985
Epoch [259/300], Loss: 0.0090, accuracy:0.9979
Epoch [260/300], Loss: 0.0068, accuracy:0.9984
Epoch [261/300], Loss: 0.0102, accuracy:0.9979
Epoch [262/300], Loss: 0.0065, accuracy:0.9982
Epoch [263/300], Loss: 0.0054, accuracy:0.9985
Epoch [264/300], Loss: 0.0085, accuracy:0.9981
Epoch [265/300], Loss: 0.0079, accuracy:0.9983
Epoch [266/300], Loss: 0.0078, accuracy:0.9981
Epoch [267/300], Loss: 0.0100, accuracy:0.9983
Epoch [268/300], Loss: 0.0058, accuracy:0.9981
Epoch [269/300], Loss: 0.0068, accuracy:0.9981
Epoch [270/300], Loss: 0.0084, accuracy:0.9982
Epoch [271/300], Loss: 0.0053, accuracy:0.9987
Epoch [272/300], Loss: 0.0120, accuracy:0.9971
Epoch [273/300], Loss: 0.0074, accuracy:0.9980
Epoch [274/300], Loss: 0.0071, accuracy:0.9979
Epoch [275/300], Loss: 0.0070, accuracy:0.9987
Epoch [276/300], Loss: 0.0098, accuracy:0.9977
Epoch [277/300], Loss: 0.0093, accuracy:0.9977
Epoch [278/300], Loss: 0.0125, accuracy:0.9970
Epoch [279/300], Loss: 0.0084, accuracy:0.9976
Epoch [280/300], Loss: 0.0095, accuracy:0.9982
Epoch [281/300], Loss: 0.0083, accuracy:0.9979
Epoch [282/300], Loss: 0.0068, accuracy:0.9984
Epoch [283/300], Loss: 0.0078, accuracy:0.9981
Epoch [284/300], Loss: 0.0094, accuracy:0.9979
Epoch [285/300], Loss: 0.0107, accuracy:0.9976
Epoch [286/300], Loss: 0.0091, accuracy:0.9974
Epoch [287/300], Loss: 0.0067, accuracy:0.9981
Epoch [288/300], Loss: 0.0090, accuracy:0.9979
Epoch [289/300], Loss: 0.0090, accuracy:0.9985
Epoch [290/300], Loss: 0.0075, accuracy:0.9984
Epoch [291/300], Loss: 0.0106, accuracy:0.9976
Epoch [292/300], Loss: 0.0126, accuracy:0.9975
Epoch [293/300], Loss: 0.0072, accuracy:0.9984
Epoch [294/300], Loss: 0.0089, accuracy:0.9980
Epoch [295/300], Loss: 0.0101, accuracy:0.9976
Epoch [296/300], Loss: 0.0167, accuracy:0.9959
Epoch [297/300], Loss: 0.0063, accuracy:0.9984
Epoch [298/300], Loss: 0.0081, accuracy:0.9976
Epoch [299/300], Loss: 0.0071, accuracy:0.9985
Epoch [300/300], Loss: 0.0104, accuracy:0.9976
single GPU using time: 161849.66106510162

